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Flipped Classroom: Effective Teaching for Time Series Forecasting

Flipped Classroom: Effective Teaching for Time Series Forecasting

17 October 2022
P. Teutsch
Patrick Mäder
    AI4TS
ArXivPDFHTML

Papers citing "Flipped Classroom: Effective Teaching for Time Series Forecasting"

6 / 6 papers shown
Title
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
28
0
0
06 Jan 2025
Early Prediction of Causes (not Effects) in Healthcare by Long-Term
  Clinical Time Series Forecasting
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
Michael Staniek
Marius Fracarolli
Michael Hagmann
Stefan Riezler
OOD
AI4TS
18
1
0
07 Aug 2024
Temporal Convolution Derived Multi-Layered Reservoir Computing
Temporal Convolution Derived Multi-Layered Reservoir Computing
Johannes Viehweg
Dominik Walther
Prof. Dr. -Ing. Patrick Mäder
AI4TS
17
1
0
09 Jul 2024
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
Junaid Farooq
Danish Rafiq
Pantelis R. Vlachas
M. A. Bazaz
22
0
0
24 Jan 2024
Learning from Predictions: Fusing Training and Autoregressive Inference
  for Long-Term Spatiotemporal Forecasts
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Pantelis R. Vlachas
P. Koumoutsakos
AI4TS
AI4CE
16
7
0
22 Feb 2023
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,281
0
18 Oct 2020
1